Identifying aspects of comments in peer assessment by clustering with word embeddings

Kin Man POON; Ryan NG; Hin Leung CHUI

Identifying aspects of comments in peer assessment by clustering with word embeddings

Kin Man POON, Ryan NG, Hin Leung CHUI

Department of Mathematics and Information Technology (MIT)

Research output: Contribution to conference › Papers

Original language	English
Publication status	Published - Nov 2020
Event	The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020) - , Hong Kong Duration: 09 Nov 2020 → 11 Nov 2020 https://www.eduhk.hk/eai/

Conference

Conference	The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020)
Abbreviated title	ICEAI 2020
Country/Territory	Hong Kong
Period	09/11/20 → 11/11/20
Internet address	https://www.eduhk.hk/eai/

Citation

Poon, L. K. M., Ng, R., & Chui, M. (2020, November). Identifying aspects of comments in peer assessment by clustering with word embeddings. Paper presented at The International Conference on Education and Artificial Intelligence 2020 (ICEAI 2020), Hong Kong, China.

Keywords

Peer assessment
Clustering with word embeddings
Natural language processing
Text analytics
AI in education